Instance selection plays a pivotal role in enhancing machine learning by identifying and retaining those data instances that are most informative for the learning process, while discarding redundant ...
The specificity of the Perl-based algorithms was consistently high, over 98%. Very few benign results were classified as malignant or in situ by the Perl-based algorithms; the leukemia algorithm ...
An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
Dr. James McCaffrey of Microsoft Research presents a full demo of k-nearest neighbors classification on mixed numeric and categorical data. Compared to other classification techniques, k-NN is easy to ...
Dr. James McCaffrey of Microsoft Research uses a full-code, step-by-step demo to predict the species of a wheat seed based on seven predictor variables such as seed length, width and perimeter. The ...
Fairfax County students Gautham Ramachandran and Sriram Nalini used AI to create an algorithm that can be used to classify EEG signals, which can be used to control prosthetics. (Courtesy Gautham ...
A new editorial paper was published in Oncotarget's Volume 14 on February 11, 2023, entitled, "Unlocking the potential of molecular-driven stratification for osteosarcoma treatment and prognosis." ...
After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback